Location
Rocket Fuel
350 Marine Parkway
Redwood Shores, CA 94065
Presentation
Online Advertising generates lots of big data; billions of bid requests per day, tens of millions of ads served. Organizing and presenting summaries of this data to end users involves some challenging Business Intelligence problems for both design and implementation.
At Rocket Fuel, we have built a slick, custom BI platform based on Ruby on Rails and Node.js. Come hear our CTO, Mark Torrance, explain the design and architecture of this application, with working examples. You'll leave with a better understanding of all these areas:
* Drawing HTML5 charts from aggregated data in MySQL using Protovis and D3
* Creating editable grids in Ext JS 4.1, with Ruby on Rails controllers and models
* Gathering and pushing real-time stats into a browser grid with Node.js and Socket.io
* Exploration of chart data through mouse-driven interactions
* Slicing and Filtering data shown in grids with Ruby-powered AJAX updates
Speaker Biography:
Mark Torrance, Chief Technology Officer
As Chief Technology Officer at Rocket Fuel Inc., Torrance is driving the company's core technology development around predictive modeling and optimization for real-time bidding. Torrance studied Artificial Intelligence at Stanford and MIT, where in 1994 he left his PhD and academic career behind to blaze a trail of entrepreneurship on the newly-emerging World Wide Web.
He started StockMaster.com as a hobby, then traffic quickly grew and it became the largest stock quote site on the planet. His startup was one of the first and largest customers of the DoubleClick ad network.
The technology team at Rocket Fuel is building exactly the kind of rocket science for automated campaign management and optimization that he wished for as a publisher, and exactly the technology that he?s personally very excited about given his background in AI and Robotics, and the opportunities he sees to boost the effectiveness of online advertising with these technologies.
Torrance holds a Bachelor of Science degree in symbolic systems from Stanford University and a Master of Science (S.M.) degree in electrical engineering and computer science from the Massachusetts Institute of Technology.
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